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Advanced Data Mining and Applications

17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings, Part II

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Bohan Li

    1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  2. Lin Yue

    1. University of Queensland, Brisbane, Australia

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  3. Jing Jiang

    1. University of Technology Sydney, Sydney, Australia

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  4. Weitong Chen

    1. University of Queensland, Brisbane, Australia

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  5. Xue Li

    1. University of Queensland, Brisbane, Australia

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  6. Guodong Long

    1. University of Technology Sydney, Sydney, Australia

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  7. Fei Fang

    1. Carnegie Mellon University, Pittsburgh, USA

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  8. Han Yu

    1. Nanyang Technological University, Singapore, Singapore

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13088)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ADMA 2021.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xvii
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  2. Pattern Mining

    1. Front Matter

      Pages 1-1
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    2. SMIM Framework to Generalize High-Utility Itemset Mining

      • Siddharth Dawar, Vikram Goyal, Debajyoti Bera
      Pages 3-15

    3. TKQ: Top-K Quantitative High Utility Itemset Mining

      • Mourad Nouioua, Philippe Fournier-Viger, Wensheng Gan, Youxi Wu, Jerry Chun-Wei Lin, Farid Nouioua
      Pages 16-28

    4. OPECUR: An Enhanced Clustering-Based Model for Discovering Unexpected Rules

      • Sadeq Darrab, Priyamvada Bhardwaj, David Broneske, Gunter Saake
      Pages 29-41

    5. Tourists Profiling by Interest Analysis

      • Sonia Djebali, Quentin Gabot, Guillame Guérard
      Pages 42-53

    6. Extracting High Profit Sequential Feature Groups of Products Using High Utility Sequential Pattern Mining

      • Priyanka Motwani, C. I. Ezeife, Mahreen Nasir
      Pages 54-67

    7. Game Achievement Analysis: Process Mining Approach

      • Martin Macak, Lukas Daubner, Julia Jamnicka, Barbora Buhnova
      Pages 68-82

    8. A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects

      • Abdulwahab Aljubairy, Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Dai Hoang Tran
      Pages 83-94

  3. Graph Mining

    1. Front Matter

      Pages 95-95
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    2. A Local Seeding Algorithm for Community Detection in Dynamic Networks

      • Yanmei Hu, Yingxi Zhang, Xiabing Wang, Jing Wu, Bin Duo
      Pages 97-112

    3. Clique Percolation Method: Memory Efficient Almost Exact Communities

      • Alexis Baudin, Maximilien Danisch, Sergey Kirgizov, Clémence Magnien, Marwan Ghanem
      Pages 113-127

    4. Knowledge Graph Embedding Based on Quaternion Transformation and Convolutional Neural Network

      • Yabin Gao, Xiaoyun Tian, Jing Zhou, Bin Zheng, Hairu Li, Zizhong Zhu
      Pages 128-136

    5. Text-Enhanced Knowledge Graph Representation Model in Hyperbolic Space

      • Jiajun Wu, Bohan Li, Ye Ji, Jiaying Tian, Yuxuan Xiang
      Pages 137-149

    6. Relations Reconstruction in a Knowledge Graph of a Socioeconomic System

      • Alexander Kalinin, Danila Vaganov, Egor Shikov
      Pages 150-161

    7. A Knowledge Enabled Data Management Method Towards Intelligent Police Applications

      • Hong Jiang, Hao Wu, Tiexin Wang, Xinhua Yan
      Pages 162-174

  4. Text Mining

    1. Front Matter

      Pages 175-175
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    2. Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation

      • Fatma Najar, Nizar Bouguila
      Pages 177-191

    3. I Know You Better: User Profile Aware Personalized Dialogue Generation

      • Wenhan Dong, Shi Feng, Daling Wang, Yifei Zhang
      Pages 192-205

    4. Label-Value Extraction from Documents Using Co-SSL Framework

      • Sai Abhishek Sara, Maneet Singh, Bhanupriya Pegu, Karamjit Singh
      Pages 206-218
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Other volumes

  1. Advanced Data Mining and Applications

  2. Advanced Data Mining and Applications

Keywords

About this book

This book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022.*

The 26 full papers presented together with 35 short papers were carefully reviewed and selected from 116 submissions. The papers were organized in topical sections in Part II named: Pattern mining; Graph mining; Text mining; Multimedia and time series data mining; and Classification, clustering and recommendation.

* The conference was originally planned for December 2021, but was postponed to 2022.

Editors and Affiliations

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Bohan Li

  • University of Queensland, Brisbane, Australia

    Lin Yue, Weitong Chen, Xue Li

  • University of Technology Sydney, Sydney, Australia

    Jing Jiang, Guodong Long

  • Carnegie Mellon University, Pittsburgh, USA

    Fei Fang

  • Nanyang Technological University, Singapore, Singapore

    Han Yu

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